| | |
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| | | pip install -r requirements.txt |
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| | | ``` |
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| | | 3. Export the model. |
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| | | - Export your model([docs](https://github.com/alibaba-damo-academy/FunASR/tree/main/funasr/export)) |
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| | | |
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| | | `Tips`: torch 1.11.0 is required. |
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| | | |
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| | | 4. Run the demo. |
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| | | ```shell |
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| | | python -m funasr.export.export_model [model_name] [export_dir] [true] |
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| | | ``` |
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| | | `model_name`: the model is to export. |
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| | | |
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| | | `export_dir`: the dir where the onnx is export. |
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| | | |
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| | | More details ref to ([export docs](https://github.com/alibaba-damo-academy/FunASR/tree/main/funasr/export)) |
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| | | |
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| | | |
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| | | - `e.g.`, Export model from modelscope |
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| | | ```shell |
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| | | python -m funasr.export.export_model 'damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch' "./export" true |
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| | | ``` |
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| | | - `e.g.`, Export model from local path, the model'name must be `model.pb`. |
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| | | ```shell |
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| | | python -m funasr.export.export_model '/mnt/workspace/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch' "./export" true |
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| | | ``` |
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| | | |
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| | | 5. Run the demo. |
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| | | - Model_dir: the model path, which contains `model.onnx`, `config.yaml`, `am.mvn`. |
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| | | - Input: wav formt file, support formats: `str, np.ndarray, List[str]` |
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| | | - Output: `List[str]`: recognition result. |
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| | |
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| | | ## Speed |
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| | | |
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| | | Environment：Intel(R) Xeon(R) Platinum 8163 CPU @ 2.50GHz |
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| | | Test [wav](https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav) |
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| | | |
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| | | | Backend | RTF | |
|---|
| | | |:-------:|:------:| |
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| | | | Pytorch | 0.110 | |
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| | | | Onnx | 0.038 | |
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| | | Test [wav, 5.53s, 100 times avg.](https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav) |
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| | | |
|---|
| | | | Backend | RTF | |
|---|
| | | |:-------:|:-----------------:| |
|---|
| | | | Pytorch | 0.110 | |
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| | | | Onnx | 0.038 | |
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| | | |
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| | | |
|---|
| | | ## Acknowledge |
|---|
